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Teladoc Health

Staff Data Scientist

Teladoc Health

. Lead complex data science, machine learning, and AI initiatives of significant scope .

Posted 11/10/2026full-timeRemote • United StatesLead💰 $200,000 - $215,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading complex data science and machine learning initiatives, with a strong focus on developing analytics pipelines and algorithmic data products for healthcare and business applications. Proficient in translating complex problems into actionable analytical approaches while mentoring and guiding teams in best practices and methodologies.

Highest-signal resume keywords
Machine Learning ExpertiseStatistical InferenceSQL ProficiencyPython ProgrammingData Science Mentorship

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningStatistical InferenceCausal ModelingData AnalysisExperimental DesignVersion ControlData ProcessingQuantitative MethodsAlgorithm DevelopmentModel Validation
Soft Skills
Technical CommunicationStakeholder ManagementMentoringProblem SolvingCollaboration
Tools & Technologies
SQLSparkPythonScalaR
Certifications & Qualifications
Bachelor's Degree in Computer ScienceAdvanced Degree in STEM Field
Industry Keywords
Healthcare AnalyticsData Science Best PracticesReproducible AnalysisData-Informed DecisionsComplex Analytical Projects

Tech Stack

Tools & technologies
PythonScalaSparkSQL

About the role

Key responsibilities & impact
  • Lead complex data science, machine learning, and AI initiatives of significant scope
  • Design, develop, and maintain analytics pipelines and algorithmic data products for healthcare and business problems
  • Apply supervised and unsupervised learning, statistical inference, causal modeling, and other quantitative techniques
  • Translate ambiguous business, clinical, and product problems into analytical and machine learning approaches
  • Lead data science initiatives from problem formulation and exploratory analysis through model development, validation, implementation, and improvement
  • Establish and promote data science best practices, including reproducible analysis, experimental design, version control, peer review, documentation, and model-development practices
  • Mentor and provide technical guidance, design guidance, and code and model reviews to other data scientists
  • Partner with Data Engineering, ML Engineering, Product, Clinical, and business stakeholders
  • Communicate analyses, methodologies, trade-offs, results, and recommendations to technical and non-technical audiences
  • Develop presentations and recommendations supporting data-informed decisions
  • Improve analytical approaches, reusable methodologies, tools, and data science capabilities
  • Manage multiple complex initiatives and communicate progress, risks, dependencies, and outcomes
  • Contribute to technical standards and improve the quality, maintainability, and reproducibility of data science work

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Engineering, Business Management, or a related field
  • 8+ years of experience applying machine learning, statistics, and quantitative methods to complex business or healthcare problems
  • Strong experience with SQL and distributed data-processing technologies such as Spark
  • Strong programming skills in Python, Scala, R, or equivalent languages used for data science and machine learning
  • Experience designing, developing, evaluating, and communicating machine learning or statistical solutions
  • Ability to independently lead complex analytical projects involving multiple stakeholders
  • Strong understanding of machine learning, statistical inference, experimentation, and analytical methodology
  • Ability to communicate technical concepts, results, limitations, and recommendations effectively to technical and non-technical audiences
  • Experience mentoring or providing technical guidance to other data scientists
  • Advanced degree in a STEM field or equivalent experience and expertise
  • Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future
  • Travel up to 10%, subject to business needs

Benefits

Comp & perks
  • Performance bonus
  • Flexible Vacation Policy
  • 80 hours of Paid Sick, Safe, and Caregiver Leave annually
  • Benefits program centered around employees and their families
  • Teladoc Health equipment provided at no charge
  • Career growth opportunities
  • Inclusive workplace culture
  • Professional development and mentorship opportunities